One repeatable pass that turns an outward field idea into grounded backlog WITHOUT guessing whether fak already has it — the dogfood-witnessed capability-import loop. Before filing "fak should add X" from a named external system (Letta/MemGPT, Mem0, Zep/Graphiti, Cognee, vLLM/SGLang, a dated paper) or a row from the RESEARCH-/industry field scans, it DOGFOODS fak's own self-query surface (fakfeaturequery / fak capabilities / fak index docs|leaves|verbs|claims) to witness PRESENT / PARTIAL / ABSENT, grounds each real gap in a file:line seam, and files epic-anchored issues carrying the named source + the dogfood witness + the seam + a first checkable step. The human-curated, witness-first counterpart to the automated idea-scout (which dedups a candidate only against already-filed issues — a seen-cache, issue-body stamp, and title-Jaccard index — and never asks fak what it already has in the codebase); the product/agent-capability counterpart of sota-check (kernels) and industry-score (the competitive map). Use when reading a field/SOTA/research note and wondering "do we already have this?", before filing a capability-gap issue, after a competitor or paper ships a capability, or on a /loop cadence over the docs/notes RESEARCH- corpus to convert inert research into witnessed, grounded backlog.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
One repeatable pass that turns an outward field idea into grounded backlog WITHOUT guessing whether fak already has it — the dogfood-witnessed capability-import loop. Before filing "fak should add X" from a named external system (Letta/MemGPT, Mem0, Zep/Graphiti, Cognee, vLLM/SGLang, a dated paper) or a row from the RESEARCH-/industry field scans, it DOGFOODS fak's own self-query surface (fakfeaturequery / fak capabilities / fak index docs|leaves|verbs|claims) to witness PRESENT / PARTIAL / ABSENT, grounds each real gap in a file:line seam, and files epic-anchored issues carrying the named source + the dogfood witness + the seam + a first checkable step. The human-curated, witness-first counterpart to the automated idea-scout (which dedups a candidate only against already-filed issues — a seen-cache, issue-body stamp, and title-Jaccard index — and never asks fak what it already has in the codebase); the product/agent-capability counterpart of sota-check (kernels) and industry-score (the competitive map). Use when reading a field/SOTA/research note and wondering "do we already have this?", before filing a capability-gap issue, after a competitor or paper ships a capability, or on a /loop cadence over the docs/notes RESEARCH- corpus to convert inert research into witnessed, grounded backlog.
Quick start
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One repeatable pass that turns an outward field idea into grounded backlog WITHOUT guessing whether fak already has it — the dogfood-witnessed capability-import loop. Before filing "fak should add X" from a named external system (Letta/MemGPT, Mem0, Zep/Graphiti, Cognee, vLLM/SGLang, a dated paper) or a row from the RESEARCH-*/industry field scans, it DOGFOODS fak's own self-query surface (`fak_feature_query` / `fak capabilities` / `fak index docs|leaves|verbs|claims`) to witness PRESENT / PARTIAL / ABSENT, grounds each real gap in a file:line seam, and files epic-anchored issues carrying the named source + the dogfood witness + the seam + a first checkable step. The human-curated, witness-first counterpart to the automated `idea-scout` (which dedups a candidate only against already-filed issues — a seen-cache, issue-body stamp, and title-Jaccard index — and never asks fak what it already has in the codebase); the product/agent-capability counterpart of `sota-check` (kernels) and `industry-score` (the competitive map). Use when reading a field/SOTA/research note and wondering "do we already have this?", before filing a capability-gap issue, after a competitor or paper ships a capability, or on a /loop cadence over the docs/notes RESEARCH-* corpus to convert inert research into witnessed, grounded backlog.
About this listing
Category
Science & research
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.